Senior Technical Lead / Architect

We are seeking an experienced and forward-thinking Senior Technical Lead / Architect to drive the design, evolution, and delivery of our enterprise-grade software systems. In this role, you will serve as the technical anchor of one or more product squads - guiding engineers, defining architectural standards, and translating complex business requirements into scalable, secure, and maintainable solutions.

You will work closely with product, infrastructure, and data teams to establish best practices across the full software delivery lifecycle. You are equally comfortable whiteboarding system designs with architects as you are reviewing pull requests with developers. Your technology background is broad and stack-agnostic; what matters most is your depth of engineering judgement and your passion for building systems that last.

Key Responsibilities:

Architecture & Design

Lead end-to-end architecture for new products, platforms, and major feature initiatives

Define and maintain reference architectures, design patterns, and coding standards across teams

Evaluate build vs. buy decisions and drive technology selection with clear rationale

Produce architectural decision records (ADRs) and ensure documentation stays current

Design for non-functional requirements: scalability, resilience, observability, and security by design

Technical Leadership

Provide hands-on technical mentorship to senior, mid, and junior engineers

Conduct architecture and code reviews with constructive, knowledge-sharing feedback

Collaborate with product owners to refine technical feasibility, effort estimates, and trade-off analysis

Act as the primary technical point of contact for cross-team and cross-functional initiatives

Cloud & Infrastructure

Design and govern cloud-native architectures on AWS, Azure, and/or GCP (multi-cloud awareness is a plus)

Define cloud cost optimisation strategies - right-sizing, reserved capacity, and FinOps principles

Ensure architectures leverage managed services, serverless patterns, and auto-scaling where appropriate

Drive Infrastructure as Code (IaC) adoption using tools such as Terraform, Pulumi, or CDK

Database Engineering

Design and own relational (PostgreSQL, SQL Server, MySQL) and NoSQL (MongoDB, DynamoDB, Redis,

Cassandra) schemas

Lead database performance optimisation: query tuning, indexing strategies, execution plan analysis,

and caching layers

Define data security controls: encryption at rest and in transit, field-level masking, RBAC, and audit logging

Govern data lifecycle policies, backup/recovery strategies,



and disaster recovery testing

Evaluate and introduce recent storage technologies aligned to specific workload demands

DevOps & Developer Experience

Champion CI/CD pipeline design, branching strategies, and automated testing gates

Containerise applications using Docker and oversee Kubernetes / ECS / Cloud Run deployment models

Promote shift-left security (SAST, DAST, dependency scanning) within the development workflow

Establish SLOs, error budgets, and observability practices using tools such as Prometheus, Grafana,

Datadog, or equivalent

AI & Emerging Technologies (Advantageous)

Contribute architectural guidance to AI/ML-powered product features or internal tooling

Evaluate and integrate LLM APIs, embedding pipelines, RAG architectures, or fine-tuning workflows

Ensure responsible AI practices - model governance, bias evaluation, and data privacy compliance

Stay current with the AI landscape and identify opportunities to embed intelligent capabilities into products

Preferred Skills

Core Engineering Experience

8+ years of professional software engineering experience, with at least 3 years in a technical lead or architect capacity

Proficiency in one or more languages: JavaScript/TypeScript (Node.js), Python, Java, C# (.NET), or Go

Solid grasp of OOP, functional programming, design patterns (SOLID, DDD, CQRS, Event Sourcing), and clean code principles

Extensive experience designing RESTful and GraphQL APIs; familiarity with gRPC and async messaging

(Kafka, RabbitMQ, SQS)

Proven track record of delivering large-scale distributed systems in production environments

Cloud Platforms (at least one, multi-cloud awareness preferred)

[AWS] [Azure] [Google Cloud Platform]

Deep hands-on experience with at least one major cloud provider

Core service familiarity: compute (EC2/VMs/GCE), containers (EKS/AKS/GKE), serverless, object storage, CDN, VPC/networking

Understanding of IAM, least-privilege access, secrets management (Vault, AWS Secrets Manager, Key

Vault)

Experience with cloud cost management, tagging strategies, and rightsizing

Database Skills (MANDATORY)

[Schema Design] [Query Optimisation] [Indexing] [Security] [DR & Backup]





Strong relational database design skills - normalisation, referential integrity, schema versioning

(Flyway, Liquibase)

Performance tuning: EXPLAIN/ANALYZE, index design, covering indexes, partitioning, connection pooling

NoSQL data modelling for document stores, key-value, wide-column, and time-series databases

Database security: row-level security, column masking, audit trails, encryption key management

High-availability configurations: read replicas, failover clusters, cross-region replication

DevOps & Containerisation (Minimum Proficiency Required)

[Docker] [CI/CD] [IaC] [Kubernetes (basic)]

Container fundamentals: Dockerfile best practices, multi-stage builds, image hardening, registry management

CI/CD pipeline configuration in GitHub Actions, GitLab CI, Azure DevOps, or Jenkins

Infrastructure as Code basics with Terraform or equivalent

Familiarity with Kubernetes concepts (deployments, services, config maps, ingress) - deep expertise is a plus

Soft Skills & Leadership

Exceptional communication - able to translate technical concepts for both engineering teams and non-technical stakeholders

Strong analytical and systems-thinking approach to problem decomposition

Experience driving technical roadmaps aligned with business goals and product strategy

Comfortable operating in fast-paced, agile environments with shifting priorities

Collaborative, empathetic leadership style with a focus on team growth and knowledge transfer

NICE TO HAVE (ADVANTAGEOUS)

Prior experience contributing to or leading AI/ML-powered products or platforms

Hands-on work with LLM frameworks: LangChain, LlamaIndex, OpenAI API, Azure OpenAI, Vertex AI, or

Bedrock

Familiarity with vector databases (Pinecone, Weaviate, pgvector) and semantic search architectures

MLOps experience: model deployment, versioning, monitoring, and retraining pipelines

Knowledge of data engineering patterns - streaming (Kafka, Kinesis), batch ETL, and data lake/warehouse architectures

Relevant cloud certifications: AWS Solutions Architect, Azure Solutions Architect Expert, Google

Professional Cloud Architect

Experience in regulated industries (FinTech, HealthTech, GovTech) with compliance awareness (GDPR,

ISO 27001, SOC 2)

Open-source contributions or active participation in technical communities

Disclaimer: This has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

📌 Senior Technical Lead / Architect (Thiruvananthapuram)
🏢 Techversant
📍 Thiruvananthapuram